FileMarket AI Data Labs
Unique Speech and Biometric Datasets for AI training
We collect high-quality and unique datasets for AI training directly from individual contributors with labeling, annotation, and with full legal consent.
Why FileMarket AI Data labs?
FileMarket AI Data Labs delivers high-quality data for ASR, NLP, and Computer Vision — diverse, labeled, and ready to train production-grade AI. We have a Chatbot and a Telegram MiniApp to collect hard-to-get datasets to make your model outperform all competitors. Make your AI model state-of-the-art in your field.
We help AI companies to outperform their competitors with the best data.
High-Quality Custom Data for unique use cases
2️⃣ High-Quality Data Preprocessing – Cleaning and structuring raw data to ensure accuracy and consistency.
3️⃣ High-Quality Data Validation – Rigorous checks to maintain data reliability.
4️⃣ High-Quality Data Labeling – Precise categorization for superior AI model training.
5️⃣ High-Quality Data Annotation – Adding context and metadata to enhance AI performance.
Unique AI Datasets
Audio and Speech Data
Call Center data, Monologues, Studio recordings
Video Data
4K professional and user generated content (UGC)
Biometric Data
Selfies, Palm pictures, ID photos, iBeta, Deep fake, Anti-spoofing
Custom unique Public Dataset
8PB+ of Data, 200B+ messages, 900+ of Speech
High-Quality Data standards
Diverse Data Collection
Utilizing modern social media and messaging apps like Telegram and Farcaster, we collect diverse datasets directly from users.
Rigorous Validation
Our validation AI Agents ensure the highest data quality through rigorous validation and precise labeling, essential for training robust AI models.
Permissionless Access
We leverage decentralized networks and other Web3 technologies to store datasets securely, ensuring privacy and integrity.
Fair Compensation and Legal Consent
We provide fair compensation to users and ensure full legal consent for all data collection.
Ilya O. - CEO and Founder of FileMarket AI Data LabsLinkedin
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